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True demand-driven semiconductor supply chains for Europe

Project description

Addressing chip shortage in the European semiconductor industry

Semiconductors play a crucial role in numerous products, including refrigerators, cars, smartphones, and LED bulbs. However, recent adverse events have led to significant chip shortages. In response, the EU-funded SC4EU project aims to bolster European digital sovereignty by tackling the chip shortage issue. Specifically, it targets reducing the bullwhip effect in the semiconductor industry and related supply chains. The project intends to improve the accuracy of demand signals by utilising an anonymous Multi-Party Computation (MPC) survey to gather coarse granularity data. Subsequently, this survey data will be processed using Semantic Web via Digital Reference semantic model and AI tools to derive fine-grained insights. SC4EU aims to enhance semiconductor demand forecasting by obtaining high-quality, reliable data.

Objective

SC4EU, a collaborative Innovation Action aims at strengthening European digital sovereignty by mitigation of the chip shortage through reduction of bullwhip effect in the semiconductor industry and supply chains containing semiconductors. This will be reached via a “truer”-demand signal gained from an anonymous MPC (Multi-Party Computation) survey on coarse granularity which will be broken down via AI methods to fine granularities following the semantic web based digital reference structure.

The bullwhip effect has led to a range of negative outcomes, including excessive inventory, inventory write-offs, decreased revenue, workforce reduction, and ultimately, significant shortages, as observed in the last COVID years, during the financial crisis in 08/09 and during the .com crisis in the Zero Years.

The ambition of SC4EU consortium is to overcome these obstacles and to obtain high-quality, reliable data for semiconductor demand forecasting. In the solution proposed by SC4EU, data should be gathered via an anonymous survey based on Multi-Party Computing technology. Anonymity and security of data flow will encourage business partners to share their true demand data. Then, the gathered data will be mapped onto ontologies (semantic representations of the semiconductor industry) and processed with AI tools for demand breakdown of fine granularity.

Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-JU-IA - HORIZON JU Innovation Actions

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-KDT-JU-2023-3-CSA-IA

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Coordinator

INFINEON TECHNOLOGIES AG
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 728 521,08
Address
AM CAMPEON 1-15
85579 Neubiberg
Germany

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Region
Bayern Oberbayern München, Landkreis
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 040 744,40

Participants (14)

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